Summary

Historical daily market prices and key statistics data for 4100+ cryptocurrencies since 2013

Charts of Daily Cryptocurrencies' Prices and Key Indicators

Key Features

Updated daily, historical data available since 2013
4,100+ Cryptocurrency Coverage
Daily open-close-high-low values
Derived key statistics, such as: Returns, Average Prices (10d, 50d, 200d), Bollinger Index

Documentation

Applications

Back-testing investment and risk-return hypothesis
Developing investment strategies based on multiple technical scores
Competitive cryptocurrency / coin analysis over time
Digital economy trends analysis

Overview

This data product feed provides you a complete picture of historical cryptocurrency prices and technical indicators for 4,100+ coins since 2013. Along with the daily open-close-high-low values and times, the data feed includes technical indicators for each coin.

Cryptocurrency is a digital medium of exchange, using strong cryptography to secure financial transactions, control the creation of additional units, and verify the transfer of assets.

Data Coverage

Download the full list of cryptocurrencies in this data product
Here are top 10 (*) cryptocurrency with start dates of histories:
( * as of 20.08.2020 as per coinmarketcap.com )

Rank	Coin Name	Start Date
1	Bitcoin	24 April 2013
2	Ethereum	7 August 2015
3	XRP	4 August 2013
4	Tether	25 February 2015
5	Chainlink	20 September 2017
6	Bitcoin Cash	23 July 2017
7	Litecoin	29 April 2013
8	Bitcoin SV	9 November 2018
9	Cardano	1 October 2017
10	Binance Coin	25 July 2017

Technical indicators that will help comparing and back-testing the performance of each cryptocurrencies:
- Daily Open, Low, High, Close Prices
- Previous Day's Close Price, Change
- Lowest, Highest (52w)
- Returns (1d, 3m, 1y)
- Previous and Forward Changes (4w, 8w, 12w)
- Average Prices (10d, 50d, 200d)
- Price Deviation, Standard Deviation (50d)
- Bollinger Index (lower, higher band)

Bollinger Band Definition:

A Bollinger Band is a technical analysis tool defined by a set of trendlines plotted two standard deviations (positively and negatively) away from a simple moving average (SMA) of a security's price, but which can be adjusted to user preferences. They were developed and copyrighted by famous technical trader John Bollinger, designed to discover opportunities that give investors a higher probability of properly identifying when an asset is oversold or overbought.

There are three lines that compose Bollinger Bands: A simple moving average (middle band) and an upper and lower band
The upper and lower bands are typically 2 standard deviations +/- from a 20-day simple moving average, but can be modified

Data Collection Methodology

Data is cleansed and organized to provide a ready for analysis dataset
Both historical and current prices and technical indicators of 4,100+ Cryptocurrencies are aggregated
Data updates from CoinMarketCap and various major cryptocurrency open sources

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Dictionary

Column	Title	Data Type	Description
quote_date	Quote Date	Date	The trade date of the price observations
coin_name	Coin Name	Text	Name of the cryptocurrency
low_time	Low Time	Timestamp	The time that the cryptocurrency reaches to the lowest price for the given date
high_time	High Time	Timestamp	The time that the cryptocurrency reaches to the highest price for the given date
low	Day Low	Float	Day low is the lowest price at which a stock trades over the course of the quote_date. Low is lower than or equal to all other price quotes for a given quote_date.
high	Day High	Float	Day high is the highest price at which a stock trades over the course of the quote_date. High is higher than or equal to all other price quotes for a given quote_date.
open	Day Open	Float	Open price at which a cryptocurrency first trades upon opening of the exchange on a quote_date
close	Day Close	Float	The price per share for the last trade on the quote_date during regular market hours
high_price_52w	52 Weeks High Price	Float	A 52-week high is the highest price at which a stock has traded during the previous year
low_price_52w	52 Weeks Low Price	Float	A 52-week low is the lowest price at which a stock has traded during the previous year
prev_close_1d	Previous Day Close	Float	1 day price change of the cryptocurrency
change_1d	One Day Change	Float	The difference in price from the previous day's close
return_1d	1 Day Return	Float	Percent change of a cryptocurrency's close price from the previous day's close
return_3m	3 Months Return	Float	Percent change of a cryptocurrency's close price in the last three months
return_1y	1 Year Return	Float	Percent change of a cryptocurrency's close price in the last year
prev_change_4w	4 Weeks Change - Previous	Float	Price change of the cryptocurrency compared to the values of 4 weeks ago
prev_change_8w	8 Weeks Change - Previous	Float	Price change of the cryptocurrency compared to the values of 8 weeks ago
prev_change_12w	12 Weeks Change - Previous	Float	Price change of the cryptocurrency compared to the values of 12 weeks ago
frwd_change_4w	4 Weeks Change - Forward	Float	Price change of the cryptocurrency compared to the values of 4 weeks later
frwd_change_8w	8 Weeks Change - Forward	Float	Price change of the cryptocurrency compared to the values of 8 weeks later
frwd_change_12w	12 Weeks Change - Forward	Float	Price change of the cryptocurrency compared to the values of 12 weeks later
avg_price_10d	10 Days Average Price	Float	Moving Average of close price over the past 10 trading days
avg_price_50d	50 Days Average Price	Float	Moving Average of close price over the past 50 trading days
avg_price_200d	200 Days Average Price	Float	The average closing price for the past 200 trading days (~ three quarters)
stddev_50d	Standard Deviation 50 Days	Float	Standard deviation of close price over the past 50 trading days
price_deviation	Price Deviation	Float	Ratio of close price to 50 day moving average price
bollinger_upper_band	Bollinger Upper Band	Float	50 day moving average plus two standard deviations of closing price
bollinger_lower_band	Bollinger Lower Band	Float	50 day moving average minus two standard deviations of closing price
bollinger_index	Bollinger Index	Float	It indicates the position of Closing Price relative to Bollinger Bands. Bollinger Bands is plotted at 2 standard deviations around a 50-Day simple moving average of the stock price. Bollinger Index is close to 1, when closing price is close to the higher band, it is close to 0 when the closing price is close to the lower band.
update_time	Update Time	Timestamp	Indicates the update time for any changes on the data record
last_update_time	Last Update Time	Timestamp	Date-time value when the record was last updated

Sample Data

API

ALTADATA provides a powerfull API, compatible with JSON, CSV formats. You can connect, update and analyze our data products with cURL, Python, R, Ruby, Java or Javascript

Authentication

Getting an API key

You need to subscribe to an ALTADATA data product to get an API key. Once you subscribe to the data product you can find your API key on your Account Dashboard.

Auhenticating your requests

`api_key` is your access token. This token must be included on each API call with either a HTTP Header Authorization, or a query parameter api_key.

Example: https://www.altadata.io/data/api/bn_04_cmrcp_02?api_key=YOUR_API_KEY

ALTADATA API Reference Table

Parameter Type	Parameter	Explanation	Available Values	Default
General	`size`	The number of records will be returned for each page.	`5` - `100`	`20`
General	`page`	The page number. It starts at `1` and increments one by one. Each page returns records that row count equals to the `size` parameter	`1`- `...`	`1`
General	`format`	The data return format of API call	`json` , `csv`	`json`
General	`collapse`	The aggregation format of API call	Examples are `monthly`, `yearly`, `bystate`, `bycountry`, etc. Refer to the data product documentation to see available aggregations for it.	`null`
Select	`columns`	Column select is how you specify the content of an SQL SELECT c_only, c_certain, c_columns FROM clause.	More detail is in the following sections.	`*`
Order	`order_by`	Column order is how you specify the content of an SQL ORDER BY clause.	More detail is in the following sections.	`null`
Lookup	vary by column name	Column lookups are how you specify the content of an SQL WHERE clause.	More detail is in the following sections.	`*`

Select

Column select is how you specify the content of an SQL SELECT c_only, c_certain, c_columns FROM clause. It specifies as a keyword argument to the query string of API Call URL. Basic usage is a comma-separated list of column names. If not given, the default value is *(asterisk).

Example 1 :

Query : ?columns=C1,C2,C3 SQL Equivalent : Select C1,C2,C3 from DATA_PRODUCT

Example 2 :

Query : Not Given | ?columns= | ?columns=* SQL Equivalent : Select * from DATA_PRODUCT

Order

Column order is how you specify the content of an SQL ORDER BY clause. It specifies as a keyword argument to the query string of API Call URL. Basic usage is a comma-separated list of column names where each column name has an appropriate suffix (asc,desc) after _(underscore) or no suffix (means ascending).

Example :

Query : ?order_by=C1_asc,C2,C3_desc,C4_asc SQL Equivalent : Select * from DATA_PRODUCT order by C1 asc, C2, C4 desc, C4 asc

Order Type	Suffix
Ascending	`null`
Ascending	`asc`
Descending	`desc`

Lookup

Column lookups are how you specify the content of an SQL WHERE clause. They’re specifies as keyword arguments to the query string of API Call URL. Basic usage is appending _(underscore) then lookup type as a suffix to name of the column that you want to filter. The query parameter for a column is built like the format {COLUMN_NAME}_{LOOKUP_TYPE}

As a convenience when no lookup type is provided

Lookup Type	Suffix	Value Type	Example	SQL Equivalent
Equal to	`null`	String \| Numeric \| Datetime	?COLUMN=VALUE	`Select * from DATA_PRODUCT where COLUMN=VALUE`
Equal to	`eq`	String \| Numeric \| Datetime	?COLUMN_eq=VALUE	`Select * from DATA_PRODUCT where COLUMN=VALUE`
Not Equal to	`neq`	String \| Numeric \| Datetime	?COLUMN_neq=VALUE	`Select * from DATA_PRODUCT where COLUMN<>VALUE`
Greater Than	`gt`	Numeric \| Datetime	?COLUMN_gt=VALUE	`Select * from DATA_PRODUCT where COLUMN>VALUE`
Greater Than or Equal to	`gte`	Numeric \| Datetime	?COLUMN_gte=VALUE	`Select * from DATA_PRODUCT where COLUMN>=VALUE`
Less Than	`lt`	Numeric \| Datetime	?COLUMN_lt=VALUE	`Select * from DATA_PRODUCT where COLUMN,VALUE`
Less Than or Equal to	`lte`	Numeric \| Datetime	?COLUMN_lte=VALUE	`Select * from DATA_PRODUCT where COLUMN<=VALUE`
In	`in`	String	?COLUMN_in=V1,V2,V3	`Select * from DATA_PRODUCT where COLUMN in ('V1','V2','V3')`
Not In	`notin`	String	?COLUMN_notin=V1,V2,V3	`Select * from DATA_PRODUCT where COLUMN not in ('V1','V2','V3')`

Data Access Examples

cURL

curl \ -H 'Authorization: api_key' \ 'https://www.altadata.io/data/api/bn_04_cmrcp_02'

Python (requests)

response = requests.get( 'https://www.altadata.io/data/api/bn_04_cmrcp_02', headers={'Authorization': 'api_key'} )

Ruby (open-uri)

require 'open-uri' response = URI.open('https://www.altadata.io/data/api/bn_04_cmrcp_02', "Authorization" => "api_key" )

Java (OkHttp)

Request request = new Request.Builder() .url("https://www.altadata.io/data/api/bn_04_cmrcp_02") .addHeader("Authorization", "api_key") .build(); Call call = client.newCall(request); Response response = call.execute();

Javascript (axios)

axios.request({ url: 'https://www.altadata.io/data/api/bn_04_cmrcp_02', method: 'get', headers: { 'Authorization', 'api_key'} }) .then(response => { console.log(response.data) })

R ( jsonlite )

library(jsonlite) data <- fromJSON(`https://www.altadata.io/data/api/bn_04_cmrcp_02`)

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